A curated list of trustworthy deep learning papers. Continually updating...
☆387May 22, 2026Updated 3 weeks ago
Alternatives and similar repositories for awesome-trustworthy-deep-learning
Users that are interested in awesome-trustworthy-deep-learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Awesome Machine Unlearning (A Survey of Machine Unlearning)☆955May 7, 2026Updated last month
- A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...☆402May 29, 2026Updated 3 weeks ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆89Feb 28, 2026Updated 3 months ago
- Existing Literature about Machine Unlearning☆968Aug 29, 2025Updated 9 months ago
- Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning (ICML 2023)☆19Dec 15, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- An awesome list of papers on privacy attacks against machine learning☆639Mar 18, 2024Updated 2 years ago
- Official repo for EMNLP'24 paper "SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning"☆30Oct 1, 2024Updated last year
- A list of backdoor learning resources☆1,175Jul 31, 2024Updated last year
- ☆372Apr 8, 2026Updated 2 months ago
- A resource repository for machine unlearning in large language models☆598Jun 10, 2026Updated last week
- ☆42May 21, 2025Updated last year
- 关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记☆1,240Dec 14, 2023Updated 2 years ago
- [ICML 2024] TrustLLM: Trustworthiness in Large Language Models☆627Jun 24, 2025Updated 11 months ago
- A summay of existing works on vertical federated/split learning☆15Nov 28, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Official repo for NeurIPS'24 paper "WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models"☆19Dec 16, 2024Updated last year
- ☆189Apr 22, 2026Updated last month
- The official Pytorch implementation of paper "FedSoup: Improving Generalization and Personalization in Federated Learning via Selective M…☆18Apr 14, 2024Updated 2 years ago
- Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models☆823Jun 5, 2026Updated 2 weeks ago
- EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.☆339Jun 30, 2024Updated last year
- Papers and resources related to the security and privacy of LLMs 🤖☆580Jun 8, 2025Updated last year
- Identification of the Adversary from a Single Adversarial Example (ICML 2023)☆10Jul 15, 2024Updated last year
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆27May 27, 2025Updated last year
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆112Jul 10, 2023Updated 2 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- ☆610Jul 4, 2025Updated 11 months ago
- The open-sourced Python toolbox for backdoor attacks and defenses.☆666Sep 27, 2025Updated 8 months ago
- ☆15Dec 10, 2024Updated last year
- Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.☆382Feb 5, 2023Updated 3 years ago
- Empirical tricks for training robust models (ICLR 2021)☆258May 25, 2023Updated 3 years ago
- Robust machine learning for responsible AI☆507Jul 12, 2024Updated last year
- A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them (no longer maintained)☆292Jan 11, 2025Updated last year
- Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, boo…☆1,009Apr 3, 2026Updated 2 months ago
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆35Jul 3, 2021Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Related papers for robust machine learning☆562May 25, 2023Updated 3 years ago
- A curated list of papers & resources on backdoor attacks and defenses in deep learning.☆239Mar 15, 2024Updated 2 years ago
- A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).☆1,993May 27, 2026Updated 3 weeks ago
- [NeurIPS D&B '25] The one-stop repository for LLM unlearning☆551Mar 18, 2026Updated 3 months ago
- Pytorch implementation of NPAttack☆12Jul 7, 2020Updated 5 years ago
- This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturba…☆39Mar 22, 2025Updated last year
- A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.☆524Oct 15, 2023Updated 2 years ago